Embedded analytics in your product
Interactive dashboards inside your software, device portal or platform through EMB-S, white-labelled and published to closed groups or the public.
- Industries
- Healthcare & life sciences
- HealthTech & Life Sciences
HealthTech & life sciences
Analytics inside your product —
Analytics inside your product —
and behind every decision you make.
TURBOARD gives digital health, pharma and medical-device companies one platform to analyse their own data and to deliver white-labelled analytics to their clients and subscribers.
The challenge
Your data is the product — and the analytics around it are expected.
Life-science and health-technology companies work with R&D pipelines, market intelligence, device telemetry, client systems and their own commercial data, each in a different structure. Clients now expect interactive analytics inside the software, device or subscription they buy, and building that layer in-house means a team of BI developers, designers and data engineers that never stops growing.
TURBOARD covers both sides. Internally, it brings research, commercial and operational data into one governed model. Externally, the same engine is embedded white-labelled in your product, with row-level permissions so each client sees only its own data. PharmaCircle, the US pharma intelligence provider, has used our visualisation engine since 2004 — through it, 79% of large pharma companies use it.
500K+business users work with TURBOARD
Since 2004enterprise BI engineering, founded in Chicago
Cloud or on-premisefully on-premise deployment, AI included
PatentedBI technology, including a granted US patent
What you can do
From internal analysis to the analytics you sell
Subscriber intelligence platforms
Market, pipeline and competitive intelligence delivered to subscribers as dashboards they can filter and drill into, as PharmaCircle has done since 2004.
Automated client reporting
Scheduled PDF, Excel and PowerPoint reports for every client, each containing only that client’s data, distributed by e-mail at scale.
Device and IoT data
Usage and performance data from medical devices analysed as it refreshes, with predictive maintenance models built in the ANA-S module.
Product usage and customer success
Feature adoption, active users and account health by client, so product and customer success teams prioritise from evidence.
Commercial and operational performance
Sales, field force, marketing, HR and finance data in one model, compared with the same days last month or last year.
Challenges & solutions
Where HealthTech analytics stalls — and how TURBOARD helps
?Building analytics in-house
A custom reporting layer takes a dedicated team, delays the roadmap and still lags what clients ask for.
✓White-label engine
Embed TURBOARD under your brand and spend engineering time on your core product instead of charts.
?Every client needs its own view
Separate exports or databases per client multiply effort and risk the wrong data reaching the wrong customer.
✓Row-level permissions
One model serves all clients; every user and every scheduled report sees only authorised data.
?Heterogeneous data
R&D, device, market and client data arrive in different formats, so analysis starts with weeks of preparation.
✓ETL inside the BI
Connect live or load your own SQL into the columnar store, and join several fact tables over shared dimensions.
?Sensitive data and AI
Clinical and commercial data cannot always leave your infrastructure or reach a public AI service.
✓Your choice of deployment
Run in the cloud or fully on-premise including the AI, with your choice of language model or a private endpoint.
JAS · Just Ask Simply
Let your team — and your clients — ask in plain language
JAS, the AI assistant built into TURBOARD, answers from the governed model, finds existing trusted reports first and cites them. She turns a sentence into a dashlet or a whole dashboard and edits it on command. Embedded in your product, she gives your clients the same natural-language access to their own data.
Explore JAS capabilities →JJASQuestions you can ask
- Which client accounts reduced their active users by more than 20% this quarter?
- Show phase III oncology candidates by sponsor and expected readout year.
- Which device models had the most error events per thousand operating hours last month?
- Compare sales by territory this month with the same days last year.